P1
Foundation
Signal & Digital Biomarker Engine
Can low-burden behavioral signals reveal meaningful longitudinal change?
12-month planning target≥85% usable data≥80% weekly adherence
Research & R&D roadmap
Five uncertainties. One responsible path forward.
Our 12-month portfolio is structured to test whether Aletheia can create trustworthy early-warning value without sacrificing usability, privacy, or calm.
Research status
The metrics below are planning targets for controlled research—not proven clinical performance, product claims, or evidence of regulatory clearance.
P2
Foundation
Alert Classification Engine
Can the system distinguish a credible anomaly from noise while protecting sensitivity?
Research objectiveControl false discoveryBaseline, test, and calibrate
P3
Core differentiator
Explainable Cognitive Risk Engine
Can individualized models identify change while controlling false alerts and showing their reasoning?
12-month planning target≥0.80 sensitivityat ≤10% false-alert rate
P4
Adoption
Human-Centered Awareness Experience
Can people understand and act on insights without unnecessary alarm or fatigue?
12-month planning target≥85% comprehension≥60% recommended-action uptake
P5
Risk reduction
Privacy, Governance & Validation
Can the concept be governed, audited, and responsibly prepared for future healthcare research?
12-month planning targetAuditable consentNo critical privacy findings
Technology roadmap
Stage evidence before ambition.
Each horizon depends on validation and governance from the horizon before it.
Foundational awareness
Signal research, longitudinal data foundations, awareness prototypes, and privacy governance.
Intelligent monitoring
Digital biomarkers, calibrated risk research, personalized explanations, and controlled pilots.
Predictive research
Subject to evidence: forecasting research, clinical workflow studies, and responsible decision support.
Precision ecosystem vision
Long-term possibilities such as adaptive pathways and integrated systems—only if validated and appropriate.
Portfolio figure of merit
Actionable Awareness Value
A team-developed decision measure to balance possible early-warning value with false alerts and user burden. It is not a clinical metric.
IncreaseLead time · sensitivity · engagement
ControlFalse alerts · user burden
ControlFalse alerts · user burden
The goal is disciplined trade-offs—not accuracy at any cost.